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Publication search results
found 46 matches
- 2023
- Yue Yang, Xu Xu, Huichao Yang, Wangjie Li:
Robust adaptive beamforming via covariance matrix reconstruction with diagonal loading on interference sources covariance matrix. Digit. Signal Process. 136: 103977 (2023) - Fotis P. Kalaganis, Kostas Georgiadis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris:
Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding. BI 2023: 409-419 - 2022
- Baptiste Broto, François Bachoc, Laura Clouvel, Jean-Marc Martinez:
Block-Diagonal Covariance Estimation and Application to the Shapley Effects in Sensitivity Analysis. SIAM/ASA J. Uncertain. Quantification 10(1): 379-403 (2022) - Rebecca E. Morrison, Ricardo Baptista, Estelle L. Basor:
Diagonal nonlinear transformations preserve structure in covariance and precision matrices. J. Multivar. Anal. 190: 104983 (2022) - Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii, Tatsuya Kawahara:
Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2368-2382 (2022) - Lucija Zignic, Stjepan Begusic, Zvonko Kostanjcar:
Estimating the Block-Diagonal Idiosyncratic Covariance in High-Dimensional Factor Models. SoftCOM 2022: 1-6 - 2021
- Ferrante Neri, Shahin Rostami:
Generalised Pattern Search Based on Covariance Matrix Diagonalisation. SN Comput. Sci. 2(3): 171 (2021) - 2020
- Youhei Akimoto, Nikolaus Hansen:
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. 28(3): 405-435 (2020) - Jieyi Ren, Xiao-Jun Wu, Josef Kittler:
Discriminative block-diagonal covariance descriptors for image set classification. Pattern Recognit. Lett. 136: 230-236 (2020) - Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Kazuyoshi Yoshii, Tatsuya Kawahara:
Fast Multichannel Nonnegative Matrix Factorization With Directivity-Aware Jointly-Diagonalizable Spatial Covariance Matrices for Blind Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2610-2625 (2020) - Ferrante Neri, Shahin Rostami:
A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation. EvoApplications 2020: 3-19 - Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire:
Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design. GLOBECOM 2020: 1-6 - Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire:
Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design. CoRR abs/2005.14457 (2020) - 2019
- Kai Xu, Xinxin Hao:
A nonparametric test for block-diagonal covariance structure in high dimension and small samples. J. Multivar. Anal. 173: 551-567 (2019) - Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices. EUSIPCO 2019: 1-5 - Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices. CoRR abs/1903.03237 (2019) - Youhei Akimoto, Nikolaus Hansen:
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. CoRR abs/1905.05885 (2019) - 2018
- Ali Foroughi Pour, Lori A. Dalton:
Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure. BMC Bioinform. 19-S(3): 5-19 (2018) - Min Xiang, Shirin Enshaeifar, Alexander E. Stott, Clive Cheong Took, Yili Xia, Sithan Kanna, Danilo P. Mandic:
Simultaneous diagonalisation of the covariance and complementary covariance matrices in quaternion widely linear signal processing. Signal Process. 148: 193-204 (2018) - Nobutaka Ito, Shoko Araki, Tomohiro Nakatani:
FastFCA: Joint Diagonalization Based Acceleration of Audio Source Separation Using a Full-Rank Spatial Covariance Model. EUSIPCO 2018: 1667-1671 - Nobutaka Ito, Tomohiro Nakatani:
Multiplicative Updates and Joint Diagonalization Based Acceleration for Under-Determined BSS Using a Full-Rank Spatial Covariance Model. GlobalSIP 2018: 231-235 - Nobutaka Ito, Tomohiro Nakatani:
Fastfca-As: Joint Diagonalization Based Acceleration of Full-Rank Spatial Covariance Analysis for Separating any Number of Sources. IWAENC 2018: 151-155 - Nobutaka Ito, Shoko Araki, Tomohiro Nakatani:
FastFCA: A Joint Diagonalization Based Fast Algorithm for Audio Source Separation Using A Full-Rank Spatial Covariance Model. CoRR abs/1805.06572 (2018) - Nobutaka Ito, Tomohiro Nakatani:
FastFCA-AS: Joint Diagonalization Based Acceleration of Full-Rank Spatial Covariance Analysis for Separating Any Number of Sources. CoRR abs/1805.09498 (2018) - 2017
- Yuki Yamada, Masashi Hyodo, Takahiro Nishiyama:
Testing block-diagonal covariance structure for high-dimensional data under non-normality. J. Multivar. Anal. 155: 305-316 (2017) - Ali Foroughi Pour, Lori A. Dalton:
Heuristic Algorithms for Feature Selection under Bayesian Models with Block-diagonal Covariance Structure. BCB 2017: 758-759 - Antoine Liutkus, Kazuyoshi Yoshii:
A diagonal plus low-rank covariance model for computationally efficient source separation. MLSP 2017: 1-6 - Min Xiang, Shirin Enshaeifar, Alexander Stott, Clive Cheong Took, Yili Xia, Danilo P. Mandic:
Diagonalisation of covariance matrices in quaternion widely linear signal processing. CoRR abs/1705.00058 (2017) - 2016
- Liang Liu, Rui Zhang:
How to Diagonalize a MIMO Channel With Arbitrary Transmit Covariance? IEEE Wirel. Commun. Lett. 5(4): 352-355 (2016) - Bram Dil, Gustaf Hendeby, Fredrik Gustafsson, Bernhard J. Hoenders:
Approximate diagonalized covariance matrix for signals with correlated noise. FUSION 2016: 521-527
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